Github Actions on Pull Requests

Github Actions can be created for the following workflows:

• Setup vCluster Platform: Installs the vCluster CLI
• Create Space: Creates a Space
• Delete Space: Deletes a Space
• Setup DevSpace: Installs the devspace CLI

Deploying Virtual Clusters on Pull Requests

These examples show how to create and delete Virtual Clusters for pull requests.

Basic

This example shows how to create and delete a virtual cluster for testing an application named my-app on pull requests.

# .github/workflows/vclusters.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - "main"
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install vCluster CLI
        uses: loft-sh/setup-vcluster@main
      - name: Login to vCluster Platform instance
        env:
          LOFT_URL: ${{ secrets.LOFT_URL }}
          ACCESS_KEY: ${{ secrets.ACCESS_KEY }}
        run: vcluster login $LOFT_URL --access-key $ACCESS_KEY
      - name: Create PR Virtual Cluster
        env:
          NAME: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
        run: vcluster create $NAME --project default
      - name: Deploy Application
        run: kubectl apply -Rf ./kubernetes
      - name: Wait for Deployment
        run: kubectl rollout status deployments/my-app
      - name: Run Tests
        run: make e2e
      - name: Delete PR Virtual Cluster
        env:
          NAME: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
        run: vcluster delete $NAME --project default

Explanation:

1. The Setup vCluster Platform action is used to install the vCluster CLI.
2. The vcluster login command is used to log in to the organization's vCluster Platform instance. Environment variables LOFT_URL and ACCESS_KEY are populated using GitHub secrets.
3. The vcluster create command is used to create a unique virtual cluster using information about the pull request in the default project. This will automatically configure the kube context for the next steps.
4. The next step deploys the application using the runner provided kubectl and manifests located under ./kubernetes.
5. Before running tests, we use kubectl to wait for the my-app deployment to become ready.
6. Now we run the end-to-end tests. In this example we're using make to run tests, but the command should be customized for your testing framework.
7. Finally, the vcluster delete command is used to delete the virtual cluster.

Automatic Cleanup

This example shows how to create and reuse a virtual cluster for testing an application named my-app on pull requests.

# .github/workflows/vclusters.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - "main"
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install vCluster CLI
        uses: loft-sh/setup-vcluster@main
      - name: Login to vCluster Platform instance
        env:
          LOFT_URL: ${{ secrets.LOFT_URL }}
          ACCESS_KEY: ${{ secrets.ACCESS_KEY }}
        run: vcluster login $LOFT_URL --access-key $ACCESS_KEY
      - name: Create PR Virtual Cluster
        env:
          NAME: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
        run: vcluster create $NAME --project default --upgrade
      - name: Deploy Application
        run: kubectl apply -Rf ./kubernetes
      - name: Wait for Deployment
        run: kubectl rollout status deployments/my-app
      - name: Run Tests
        run: make e2e

Explanation:

1. The Setup vCluster Platform action is used to install the vCluster CLI.
2. The vcluster login command is used to log in to the organization's vCluster Platform instance. Environment variables LOFT_URL and ACCESS_KEY are populated using GitHub secrets.
3. The vcluster create command is used to create a unique virtual cluster using information about the pull request in the default project. This will automatically configure the kube context for the next steps. The --upgrade flag has been added to reuse the existing virtual cluster and upgrade it to the latest version. Additional flags may be used to control the desired virtual cluster version.
4. The next step deploys the application using the runner provided kubectl and manifests located under ./kubernetes.
5. Before running tests, we use kubectl to wait for the my-app deployment to become ready.
6. Now we run the end-to-end tests. In this example we're using make to run tests, but the command should be customized for your testing framework.

Reuse

This example shows how to automatically delete a Virtual Cluster after testing an application named my-app for pull requests.

# .github/workflows/vclusters.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - 'main'
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install vCluster CLI
        uses: loft-sh/setup-loft@main
        with:
          url: ${{ secrets.LOFT_URL }}
          access-key: ${{ secrets.LOFT_ACCESS_KEY }}
      - name: Create Virtual Cluster for PR
        uses: loft-sh/create-vcluster@main
        with:
          name: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
          auto-cleanup: true
      - name: Deploy Application
        run: kubectl apply -Rf ./kubernetes
      - name: Wait for Deployment
        run: kubectl rollout status deployments/my-app
      - name: Run Tests
        run: make e2e

Explanation:

1. The Setup Loft action is used to install the vCluster CLI and login using the provided url and access-key.
2. The Create Virtual Cluster action is used to create a unique virtual cluster using information about the pull request. This will automatically configure the kube context for the following steps. Additionally, we have enabled the auto-cleanup option, which will delete the virtual cluster after the job completes.
3. The next step deploys the application using the runner provided kubectl and manifests located under ./kubernetes.
4. Before running tests, we use kubectl to wait for the my-app deployment to become ready.
5. Finally we run the end-to-end tests. In this example we're using make to run tests, but the command should be customized for your testing framework. There's no need to delete the virtual cluster since the auto-cleanup option was used when creating the virtual cluster.

Deploying Spaces on Pull Requests

These examples show how to create and delete Spaces for pull requests.

Basic

This example shows how to create and delete a space to test an application named my-app for pull requests.

# .github/workflows/prs.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - 'main'
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install vCluster CLI
        uses: loft-sh/setup-loft@main
        with:
          url: ${{ secrets.LOFT_URL }}
          access-key: ${{ secrets.LOFT_ACCESS_KEY }}
      - name: Create Space for PR
        uses: loft-sh/create-space@main
        with:
          name: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
      - name: Deploy Application
        run: kubectl apply -Rf ./kubernetes
      - name: Wait for Deployment
        run: kubectl rollout status -n pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }} deployments/my-app
      - name: Run Tests
        run: make e2e
      - name: Delete PR Space
        uses: loft-sh/delete-space@main
        with:
          name: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}

Explanation:

1. The Setup Loft action is used to install the vCluster CLI and login using the provided url and access-key.
2. The Create Space action is used to create a unique space using information about the pull request. This will automatically configure the kube context for the following steps.
3. The next step deploys the application using the runner provided kubectl and manifests located under ./kubernetes.
4. Before running tests, we use kubectl to wait for the my-app deployment to become ready.
5. Now we run the end-to-end tests. In this example we're using make to run tests, but the command should be customized for your testing framework.
6. Finally, the Delete Space GitHub Action is used to delete the pull request's space.

Automatic Cleanup

This example shows how to automatically delete a Space after testing an application named my-app for pull requests.

# .github/workflows/prs.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - 'main'
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install vCluster CLI
        uses: loft-sh/setup-loft@main
        with:
          url: ${{ secrets.LOFT_URL }}
          access-key: ${{ secrets.LOFT_ACCESS_KEY }}
      - name: Create Space for PR
        uses: loft-sh/create-space@main
        with:
          name: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
          auto-cleanup: true
      - name: Deploy Application
        run: kubectl apply -Rf ./kubernetes
      - name: Wait for Deployment
        run: kubectl rollout status -n pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }} deployments/my-app
      - name: Run Tests
        run: make e2e

Explanation:

1. The Setup Loft action is used to install the vCluster CLI and login using the provided url and access-key.
2. The Create Space action is used to create a unique space using information about the pull request. This will automatically configure the kube context for the following steps. Additionally, we have enabled the auto-cleanup option, which will delete the space after the job completes.
3. The next step deploys the application using the runner provided kubectl and manifests located under ./kubernetes.
4. Before running tests, we use kubectl to wait for the my-app deployment to become ready.
5. Finally we run the end-to-end tests. In this example we're using make to run tests, but the command should be customized for your testing framework. There's no need to delete the space since the auto-cleanup option was used when creating the space.

Reuse

This example shows how to create and reuse a space to test an application named my-app for pull requests.

# .github/workflows/prs.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - 'main'
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install vCluster CLI
        uses: loft-sh/setup-loft@main
        with:
          url: ${{ secrets.LOFT_URL }}
          access-key: ${{ secrets.LOFT_ACCESS_KEY }}
      - name: Create Space for PR
        uses: loft-sh/create-space@main
        with:
          name: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
          use: true
      - name: Deploy Application
        run: kubectl apply -Rf ./kubernetes
      - name: Wait for Deployment
        run: kubectl rollout status -n pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }} deployments/my-app
      - name: Run Tests
        run: make e2e

Explanation:

1. The Setup Loft action is used to install the vCluster CLI and login using the provided url and access-key.
2. The Create Space action is used to create a unique space using information about the pull request. This will automatically configure the kube context for the following steps. Notice that we're using the use attribute to specify that we wish to reuse the space if it still exists from a previous run.
3. The next step deploys the application using the runner provided kubectl and manifests located under ./kubernetes.
4. Before running tests, we use kubectl to wait for the my-app deployment to become ready.
5. Now we run the end-to-end tests. In this example we're using make to run tests, but the command should be customized for your testing framework.

DevSpace for Running Tests on Pull Requests

This example shows how use the Setup Devspace GitHub Action to install the DevSpace CLI and DevSpace commands to run tests.

# .github/workflows/vclusters.yaml
name: Pull Request Checks
on:
  pull_request:
    branches:
      - "main"
jobs:
  e2e:
    runs-on: ubuntu-latest
    steps:
      - name: Install DevSpace CLI
        uses: loft-sh/setup-devspace@main
      - name: Install vCluster CLI
        uses: loft-sh/setup-vcluster@main
      - name: Login to vCluster Platform instance
        env:
          LOFT_URL: ${{ secrets.LOFT_URL }}
          ACCESS_KEY: ${{ secrets.ACCESS_KEY }}
        run: vcluster login $LOFT_URL --access-key $ACCESS_KEY
      - name: Create PR Virtual Cluster
        env:
          NAME: pr-${{ github.event.pull_request.number }}-${{ github.sha }}-${{ github.run_id }}
        run: vcluster create $NAME --project default
      - name: Run Tests
        run: devspace run e2e

Explanation:

1. The Setup DevSpace action installs the DevSpace CLI.
2. The Setup vCluster Platform action is used to install the vCluster CLI.
3. The vcluster login command is used to log in to the organization's vCluster Platform instance. Environment variables LOFT_URL and ACCESS_KEY are populated using GitHub secrets.
4. The vcluster create command is used to create a unique virtual cluster using information about the pull request in the default project. This will automatically configure the kube context for the next steps.
5. Finally we use devspace run e2e to perform the needed steps to deploy and test my-app.